Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
analysis Close collaboration with an interdisciplinary team. Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and supervise MSc and PhD student
-
has experience with quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work
-
analysis of prepared electrode materials. Responsibilities and qualifications The main focus of the postdoc work will be on structural and electrochemical characterization of carbon materials for sodium ion
-
opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
-
career paths at DTU here . Further information Further information may be obtained from Aasa Feragen, afhar@dtu.dk . You can read more about DTU Compute at www.compute.dtu.dk/english/about-us . If you are
-
analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
-
with a background in Music Cognition, Psychology, Music Technology, or Musical Data Science, ideally with a specialisation in experimental concert research and/or collection and analysis of continuous
-
neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
-
; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
-
research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems